Figures and tables
| Main Author: | Wenzong Lu |
|---|---|
| Format: | info Image Journal |
| Terbitan: |
, 2021
|
| Online Access: |
https://zenodo.org/record/5489712 |
Daftar Isi:
- Figure legends Figure 1. The figures of consecutive computed tomography slices for TCGA-50-5941 patient sample. TCGA, the cancer genome atlas. First row, the whole image contains region of interest. Second row, red color circle represents the region of interest. Figure 2. Cluster analysis based on nonnegative matrix factorization. (A) cophenetic correlation coefficient at different k value. (B) dispersion correlation coefficient at different k value. (C) silhouette correlation coefficient at different k value. (D) consistency matrix of multi-omics clusters when k=3. Figure 3. The difference of survival analysis among subtypes. (A) subtype 1 versus subtype 2. (B) subtype 1 versus subtype 3. (C) subtype 2 versus subtype 3. Figure 4. Construction of weighted gene co-expression network analysis. (A) consensus gene dendrogram and module colors are showed correspondingly. (B) the module-trait relationship is displayed by correlation values and p values (p value is in parenthesis). Each row represents the named module and each column represents the traits. Red color represents positive correlation and green color represents negative correlation. Figure 5. Identification of special molecules for the three subtypes. (A) Venn diagram showing special molecules of each subtype. (B) Venn diagram showing the correlation of special molecules of each subtype and clinical trait such as region of interest integrate density (ROI_IntD). Different color areas represented different subtypes. Figure S1. Flow-chart of the study. CT, computed tomography; DEG, differential express gene; GO, gene ontology; LUAD, lung adenocarcinoma; KEGG, kyoto encyclopedia of genes and genomes; NMF, non-negative matrix factorization; ROI, region of interest; TCGA, the cancer genome atlas; TCIA, the cancer imaging archive. Figure S2. Parameter selection of weighted gene co-expression network analysis. (A) tumor samples dendrogram and clinical trait heatmap. (B) correlation of soft threshold (power) and scale independence. (C) correlation of soft threshold (power) and mean connectivity. Figure S3. Identification of hub molecules in blue module and network heatmap plot of selected molecules. (A) correlation of module membership and gene significance in blue module of weighted gene co-expression network analysis, and the upper right region represents the hub molecules in blue module. (B) Visualizing the molecules network using a heatmap plot. The heatmap shows the topological overlap matrix among 2535 molecules in the analysis. Light color represents high overlap. Blocks of lighter color along the diagonal are the modules. The gene dendrogram and module assignment is also displayed along the left side and the top.